1 citations · 1 across the 3 of their papers we have counts for
4 papers
Digital-Twin Empowered Deep Reinforcement Learning For Site-Specific Radio Resource Management in NextG Wireless Aerial Corridor
Pulok Tarafder, Zoheb Hassan, Imtiaz Ahmed +3
Joint base station (BS) association and beam selection in multi-UAV aerial corridors constitutes a challenging radio resource management (RRM) problem. It is driven by high-dimensi…
Digital-Twin Empowered Site-Specific Radio Resource Management in 5G Aerial Corridor
Pulok Tarafder, Imtiaz Ahmed, Danda B. Rawat +2
Base station (BS) association and beam selection in multi-cell drone corridor networks present unique challenges due to the high altitude, mobility and three-dimensional movement o…
LLM-Integrated Digital Twins for Hierarchical Resource Allocation in 6G Networks
Majumder Haider, Imtiaz Ahmed, Zoheb Hassan +2
Next-generation (NextG) wireless networks are expected to require intelligent, scalable, and context-aware radio resource management (RRM) to support ultra-dense deployments, diver…
Enhancing UAV Security Through Zero Trust Architecture: An Advanced Deep Learning and Explainable AI Analysis
Ekramul Haque, Kamrul Hasan, Imtiaz Ahmed +2
In the dynamic and ever-changing domain of Unmanned Aerial Vehicles (UAVs), the utmost importance lies in guaranteeing resilient and lucid security measures. This study highlights…